Correlation Between Bank of America and GameStop Corp
Can any of the company-specific risk be diversified away by investing in both Bank of America and GameStop Corp at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Bank of America and GameStop Corp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Verizon Communications and GameStop Corp, you can compare the effects of market volatilities on Bank of America and GameStop Corp and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Bank of America with a short position of GameStop Corp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and GameStop Corp.
Diversification Opportunities for Bank of America and GameStop Corp
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Bank and GameStop is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Verizon Communications and GameStop Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GameStop Corp and Bank of America is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Verizon Communications are associated (or correlated) with GameStop Corp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GameStop Corp has no effect on the direction of Bank of America i.e., Bank of America and GameStop Corp go up and down completely randomly.
Pair Corralation between Bank of America and GameStop Corp
Assuming the 90 days trading horizon Bank of America is expected to generate 2.93 times less return on investment than GameStop Corp. But when comparing it to its historical volatility, Verizon Communications is 3.0 times less risky than GameStop Corp. It trades about 0.13 of its potential returns per unit of risk. GameStop Corp is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 2,180 in GameStop Corp on September 1, 2024 and sell it today you would earn a total of 745.00 from holding GameStop Corp or generate 34.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Verizon Communications vs. GameStop Corp
Performance |
Timeline |
Verizon Communications |
GameStop Corp |
Bank of America and GameStop Corp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and GameStop Corp
The main advantage of trading using opposite Bank of America and GameStop Corp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, GameStop Corp can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in GameStop Corp will offset losses from the drop in GameStop Corp's long position.Bank of America vs. Regions Financial | Bank of America vs. Shin Etsu Chemical Co | Bank of America vs. Sumitomo Chemical | Bank of America vs. CHEMICAL INDUSTRIES |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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